Valuable Change Detection in Keyword Map Animation

Authors:
Takuya Nishikido;Wataru Sunayama;Yoko Nishihara
Affiliations:
Hiroshima City University, Hiroshima, Japan 731-3194;Hiroshima City University, Hiroshima, Japan 731-3194;University of Tokyo, Tokyo, Japan 113-8656
Venue:
Canadian AI '09 Proceedings of the 22nd Canadian Conference on Artificial Intelligence: Advances in Artificial Intelligence
Year:
2009

Citing 1
Cited 2

Graph-based word clustering using a web search engine

EMNLP '06 Proceedings of the 2006 Conference on Empirical Methods in Natural Language Processing

Consensus Development Support System for Opinion Convergence by Visualizing Input History

International Journal of Organizational and Collective Intelligence
Sales strategy mining system with visualization of action history

HCI'13 Proceedings of the 15th international conference on Human Interface and the Management of Information: information and interaction for learning, culture, collaboration and business - Volume Part III

Quantified Score

Hi-index	0.00

Visualization

Abstract

This paper proposes a map animation interface that supports interpretations of difference between two keyword relationships with varying viewpoints. Finding keywords whose relationships drastically change is crucial because the value of keywords mainly consists inof their relationships in networks. Therefore, this interface outputs marks for keywords that drastically change in their relations when it shows animations between two relationships.